For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
A new long-term prediction tool estimates the risk of dying from prostate cancer, offering a more accurate way to interpret ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Abstract: Non-communicable diseases (NCDs) like diabetes, heart disease, Parkinson's disease, and breast cancer are leading causes of global mortality and morbidity. Early detection is crucial to ...
Scientists at Mount Sinai have created an artificial intelligence system that can predict how likely rare genetic mutations are to actually cause disease. By combining machine learning with millions ...
Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...
Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...
The Dartmouth Big Green look to win their third game in a row when they take on the Sacred Heart Pioneers in a non-conference matchup on Friday morning. Dartmouth is coming off an 89-64 win over Holy ...
Texas A&M is coming off a historic season by winning 11 games in a season for the first time in more than a decade and heads into the first round of the College Football Playoff against Miami on ...
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